Understanding ML pipelines → [ Ссылка ]
Codelab → [ Ссылка ]
Want to build a system that continuously evaluates and updates your model to reflect changes in its environment? In this episode of AI Simplified, we’ll walk you through a demo of end-to-end MLOps workflow using Vertex AI pipelines. Watch to learn how MLOps can help you build a system that reflects changes in the environment!
Chapters:
0:00 - Intro to MLOps workflow
2:30 - MLOps Workflow demo
6:53 - Compile and run end-to-end ML pipeline
8:00 - Summary
Watch more episodes of Getting Started with Vertex AI → [ Ссылка ]
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product: Cloud - AI and Machine Learning - AI building blocks; fullname: Priyanka Vergadia; re_ty: Publish;
End-to-end MLOps with Vertex AI
Теги
purpose: Educatepr_pr: Google Cloudseries: AI Simplifiedtype: DevByte+GDS: Yesmlopsml lopsvertex aivertex ai pipelinevertex ai pipelinesmlops workflowend to end mlops workflowend to end vertex aidemocreate vertex aiVertex Pipeline codelabgoogle cloudgoogle cloud Vertex Pipelinegoogle cloud developergoogle cloud developersPriyanka Vergadia
